NVIDIA and Google have teamed up to bring the new Multi-Instance GPU feature, launched with the NVIDIA A100, to GKE. We speak to Kevin Klues from NVIDIA and Pradeep Venkatachalam from Google Cloud on how and why people use GPUs, optimising instance shapes for machine learning, and why less is often more.
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Chatter of the week

Episode 64, with Sarah D’Angelo and Patrick Flynn

Catching up with Patrick in Episode 148


Winthrop, Washington
Blackdown Hills, Devon

News of the week

Azure App Services now available for Azure Arc

Azure Arc and App Service blog posts
Other new AKS capbilities
Virtualization Review coverage


ECS Anywhere made GA by press release
AWS App Runner
Integrating Google Cloud DNS with GKE
Istio 1.10
Terraform 1.0
Grafana 8.0 and Tempo 1.0
Argo Rollouts 1.0
Kubesphere 3.1.0
Cilium 1.10
OpenSLO spec launched at SLOConf

Episode 147, with Brian Singer and Kit Merker


Envoy GA on Windows
Chaos Experimentation Framework for Envoy
El Carro operator for Oracle Database from Google Cloud
Moco operator for MySQL from Kintone
PlanetScale GA

Episode 81, with Jiten Vaidya and Sugu Sougoumarane


FoundationDB paper from ACM SIG MOD
DockerCon announcements
Coverage of Development Environments from The Register
Deps: Open Source Insights project from Google

Graph for Kubernetes 1.0.0
Graph for Kubernetes 1.22.0-alpha.2


Verifiable Supply Chain Metadata with Tekton Chains
Kubernetes CVEs:

CVE-2021-25736
CVE-2021-25737
CVE-2021-25738


runc CVE-2021-30465
VS Code Plugin for Kubernetes CVE-2021-31938
Steve Smith says “GitOps is a placebo” in a blog post and Twitter thread

Follow up from Vic Iglesias
GitOpsDays


Styra raises $40m Series B round

Episode 101, with Tim Hinrichs and Torin Sandall


Cloud Native community goes live with 10 shows on something called Twitch
YouTube playlist for KubeCon EU 2021

Links from the interview

Episode 92, with Pramod Ramarao
Dogecoin
Training and inference
12 things that prove Doom will run on literally anything
“It runs Doom” subreddit
CUDA
vGPUs
Multi-Instance GPUs
GKE now supports multi-instance GPUs
7 core MacBook Air GPUs
A100 GPU
16 A100 GPUs on a Google Cloud VM
Running GPUs on GKE

Node taints for scheduling


NVIDIA Container Toolkit
GCP NVIDIA GPU device plugin
Kubernetes NVIDIA device plugin
GTC 2021 talks:

A Deep Dive on Supporting Multi-Instance GPUs in Containers and Kubernetes by Kevin and Pradeep
Gain Competitive Advantage using ML Ops: Kubeflow and NVIDIA Merlin and Google Cloud by Andrew Stein and Maulin Patel (Google) and Davide Onofrio (NVIDIA)


Kevin’s KubeCon talk and slides
Kevin Klues on Twitter